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Category: Semantic technologies (Page 4 of 72)

Our coverage of semantic technologies goes back to the early 90s when search engines focused on searching structured data in databases were looking to provide support for searching unstructured or semi-structured data. This early Gilbane Report, Document Query Languages – Why is it so Hard to Ask a Simple Question?, analyses the challenge back then.

Semantic technology is a broad topic that includes all natural language processing, as well as the semantic web, linked data processing, and knowledge graphs.

Stardog joins Databricks Partner Connect

September 23, 2022 /

Stardog, an Enterprise Knowledge Graph platform provider, today announced it had joined Databricks Partner Connect, which lets Databricks customers integrate with select partners directly from within their Databricks workspace. Stardog is the first Databricks partner to deliver a knowledge-graph-powered semantic layer. Now with just a few clicks, data analysts, data engineers, and data scientists can model, explore, access, and infer new insights for analytics, AI, and data fabric needs — an end-to-end user experience without the burden of moving or copying data. Together, Stardog’s availability on Databricks Partner Connect enables joint customers to:

  • Easily define and reuse relevant business concepts and relationships as a semantic data model meaningful to multiple use cases.
  • Link and query data in and outside of the Databricks Lakehouse Platform to provide just-in-time cross-domain analytics for richer insights.
  • Ask and answer questions across a diverse set of connected data domains to fuel new business insights without the need for specialized skills.

https://www.stardog.com ■ https://www.databricks.com/partnerconnect

Algolia acquires Search.io

September 12, 2022 /

Algolia, an API-First Search & Discovery Platform, announced the acquisition of Search.io, whose flagship product is Neuralsearch – a vector search engine that uses hashing technology on top of vectors to provide price performance at scale. Algolia will combine its keyword search and Search.io’s Neuralsearch into a single API-First Search and Discovery platform with a hybrid search engine, which comprises both keyword and semantic search in a single API.

The combination of Algolia (with its keyword search) and Search.io (with its vector-based semantic search), enables Algolia to more effectively surface the most accurate and relevant results for users, whether they use specific keywords or natural human expressions. Many companies claim to offer some form of semantic search, however, these companies may not offer the capabilities of keyword search and vector-based semantic search in a single API cost-effectively, or the ability to scale. In essence, Algolia provides users with the ability to search as they think. With Search.io, Algolia aims to empower business users with a better way to manage the automation of unique and engaging end user experiences.

https://www.algolia.com/about/news/algolia-disrupts-market-with-search-io-acquisition-ushering-in-a-new-era-of-search-and-discovery/

Ontotext announces Metadata Studio

September 8, 2022 /

Ontotext introduced Ontotext Metadata Studio, built on top of the GraphDB and Ontotext Platform. Metadata Studio enables organizations to get more out of their content by unlocking new business models or achieving cost optimizations by putting their own Subject Matter Experts (SME) at the heart of text analysis.

With Ontotext Metadata Studio, organizations can use business analysts to define Semantic Objects as specific views, abstracting developers away from the complexity and peculiarities of the knowledge graph. This allows them to reference the pre-existing domain knowledge modeled in their ontologies and annotate relevant documents following the established Annotation Guidelines for the specific use case.

Ontotext Metadata Studio can be integrated with many text analysis services via GraphDB’s Text Mining Plugin, e.g., spaCy, IBM Watson, Amazon Comprehend, Google NLP, Ontotext Tag (powering the Ontotext NOW demonstrator), etc. This enables the evaluation of a service or the suitability of a combination of services for the currently explored use case against the ground truth data produced by the annotators. This can shorten the Time to market (TTM) for new product development.

https://www.ontotext.com/products/ontotext-metadata-studio/

Data Harmony suite Recommender released

July 19, 2022 /

Access Innovations, Inc., provider of Data Harmony software solutions, announced the release of their new Recommender as part of the Data Harmony Suite. Recommender is now available to all Data Harmony clients using versions 3.16 or higher.

Recommender uses the semantic fingerprint of an article, its subject metadata tagging, matching to other articles and content within the database. When the searcher finds an article they like, the Recommender automatically displays other items with the same semantic fingerprint nearby on the search interface. This allows immediate display of highly relevant content to the search without scrolling and frustration in trying to find similar items. It also allows for display of other relevant content such as conference papers, ads, books, meetings, expert profiles, and so forth.

This is not based on personalization profiles or purchasing history. By using the metadata weighting and other algorithms it provides only items relevant to the current query faster search and the surfacing of more related information to the user.

For those interested in using Recommender there are two prerequisites: 1) the content needs to be indexed or tagged using a controlled vocabulary like a thesaurus or taxonomy, and 2) the search interface needs to be able to accommodate the API call to the tagged data and subsequent display of the results.

https://www.accessinn.com

Ontotext releases GraphDB 10

June 30, 2022 /

GraphDB 10.0 is the first major release since GraphDB 9.0 was released in September 2019. It implements next generation, simpler and more reliable cluster architecture to deliver better resilience with reduced infrastructure costs. GraphDB 10 lowers the complexity of operations with better automation interfaces and a self-organized cluster for automated recovery. Deployment and packaging optimizations allow for effortless upgrades across the different editions of the engine, all the way from GraphDB Free to the Enterprise Edition. The improved full-text search (FTS) connectors of GraphDB 10 enable more comprehensive filtering as well as easier downstream data replication. Finally, parallelization of the path search algorithms brings massive improvement in graph analytics workloads through better exploitation of multi-core hardware.

Unlike previous versions, GraphDB 10 is packaged as a single distribution that can run in Free, Standard or Enterprise Edition modes depending on the currently set license. It requires zero development effort to pass from one edition to another. It is also possible to export a repository with an expired license so users are never locked out of their own data. Two major areas of improvement coming in 10.1 will be query performance optimization and availability on some of the major cloud platforms.

https://www.ontotext.com

Stardog updates enterprise knowledge graph platform

June 2, 2022 /

Stardog, an Enterprise Knowledge Graph platform provider, unveiled Stardog 8.0, with new innovations to streamline data exploration and discovery for all citizen data users.

The new Advanced Query tool in Stardog Explorer empowers citizen data users to ask complex business questions via the semantic layer more easily. By removing the need to learn a graph query language, users can self-serve from across their enterprise data landscape. Also new in Explorer is the ability to see what’s in your Stardog database by browsing data source and virtual graph metadata in the new Stardog Data Catalog graph. Additional updates include:

  • Project resources (imported CSV files and virtual graphs) can be previewed and refreshed to see updates in the data.
  • Enhanced support for project collaboration through exporting, importing, and duplicating projects.
  • Our new query profiler is available and shows you the query plan, allows you to interrupt slow queries, and can show you partial results.
  • Error notifications now stay displayed and the error text can be copied for troubleshooting.
  • A new Stardog Data Catalog graph is built from the metadata about data sources and virtual graphs within a Stardog database.
  • Improved performance for querying multiple virtual graphs and SPARQL update queries.

https://www.stardog.com/blog/introducing-stardog-8.0/

Access Innovations and SiteFusion ProConsult to deliver content management solutions

June 1, 2022 /

Access Innovations, Inc., provider of Data Harmony software solutions, announced a partnership with SiteFusion ProConsult LLC, the North American joint venture of SiteFusion GmbH and EBCONT proconsult GmbH. SiteFusion’s  content management system for publishers can leverage the taxonomy management and semantic metadata enrichment capabilities of Data Harmony.  Workflows can be configured to instantiate an automated metadata enrichment step to make the publications or content more findable and discoverable.  In addition, publishers can analyze text content and complete entity identification (people, places, things, etc.), which is important to meet governance requirements.

https://www.accessinn.com ■ https://www.sitefusion.pro

Ontotext gets growth funding to meet demand for graph technology

May 26, 2022 /

Ontotext, an enterprise knowledge graph technology and semantic database engine provider, announced that Integral Venture Partners (Integral), a capital investment firm, announced this week that an Integral–led investment consortium has entered into a definitive agreement with our mother company Sirma Group Holding, to acquire Ontotext as a global supplier of a deep-tech enterprise software, operating in the graph databases space and the Artificial Intelligence market. The Integral-led international investment consortium also includes PortfoLion Capital Partners, the venture capital and private equity arm of OTP Bank, and Carpathian Partners, a specialized technology-focused investment platform based in London. The Consortium’s investment in excess of €30 million will be structured as a combination of a capital increase and a secondary share purchase. The transaction is not subject to any regulatory approvals and is expected to close by August 2022.

Supported by new capital, Ontotext will accelerate its international expansion and go-to-market operations, focusing on the US market. We will invest in further development of our vertical product stack — end-to-end solutions for specific industries starting with Life Sciences and Financial Services. Last but not least, we will further strengthen our position as global provider of knowledge graph technology.

https://www.ontotext.com

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